\chapter*{Lista de s\'{\i}mbolos e abrevia\c{c}\~{o}es}

\begin{tabular}{ll}
{\bf PCA } & Principal Component Analysis 	\\
{\bf ICA } & Independent Component Analisys	\\
{\bf RBF} &Radial Basis Function		\\
{\bf NFL } & No Free Lunch			\\
{\bf GCV} & Generalised Cross-Validation	\\
{\bf LOO} & Leave-One-Out			\\
{\bf RNA} & Redes Neurais Artificiais		\\
{\bf RBD} & Rede de Boltzmann Discretizada	\\
{\bf SVD} & Decomposi\c{c}\~{a}o em valores singulares	\\
   &  \\
$\mathbf{x}$ 	& Vetor $\mathbf{x}$ 		\\
$\mathbf{X}$ 	& Matrizr $\mathbf{X}$ 		\\
$\mathbf{I}$ 	& Matrizr identidade $\mathbf{I}$	\\
$\mathbf{0}$ 	& Matrizr composta somente por zeros  \\
$\Delta E$ 	& Pequena mudan\c{c}a aplicada a E \\
$\mathbf{H}^{-1}$ 	& Inversa de  $\mathbf{H}$ \\
$\mathbf{H}^{T}$ 	& Transposta de $\mathbf{H}$ \\
$\left\langle \mathbf{x}\right\rangle$ 	& Valor esperado de  $\mathbf{x}$ \\
$\hat f (\mathbf{x})$  & Valor estimado de $f(\mathbf{x})$ \\
$\left| \mathbf{x} \right|$ & Valor absoluto de $\mathbf{x}$ \\
$\left\| \mathbf{x} \right\|$ & Norma euclidiana de $\mathbf{x}$ \\
$\vec r$		& Vetor $r$  \\
$\overline{r}$	& Valor m\'{e}dio do vetor $r$  \\
$min(m,n)$	& Valor m\'{\i}nimo entre $m$ e $n$ \\
\end{tabular}

